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In Mathematics and Computer Science, the graph theory is just the theory of graphs basically overall. It's basically the relationship between objects. The nodes are just lines that connects the graph. There are a total of six nodes in a family branch tree for a graph theory basically.
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What is the complexity of kruskal's minimum spanning tree algorithm on a graph with n nodes and e edges?
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What is spanning tree in data structure?
A spanning tree is a tree associated with a network. All the nodes of the graph appear on the tree once. A minimum spanning tree is a spanning tree organized so that the total edge weight between nodes is minimized.
How do you get edge value between two nodes in graph using java?
That depends how the data is stored. If you use predesigend classes to store information about nodes and edges, check the documentation of the specific class or classes. Or ask a question here, specifiying the class you are using.
Which of the abstract data type can be used to represent to many to many relation?
A graph is an abstract data type that can effectively represent many-to-many relationships. In a graph, nodes (or vertices) represent entities, while edges represent the connections or relationships between them, allowing for multiple connections between different nodes. This structure is ideal for modeling complex relationships, such as social networks or collaborative systems, where numerous entities interact with one another in various ways.
In a parallel circuit does the current change if you add more branches?
Assuming that the voltage between two nodes are the same, current changes with branches. If you add branches, this means the current will be divided, depending on the resistance strength. Greater the resistance, the lower the current. If there is no resistance, it will end up in a short circuit, getting all the current. If there is great resistance, there will be very little current passing. Mathematically, V=I*R is the formula. If you know the voltage between two nodes, you can calculate the currency (I) in each branch and for the whole nodes by putting in the particular resistance value for the branch or the whole nodes.
What is the significance of planar nodes in the study of graph theory?
Planar nodes are important in graph theory because they help determine if a graph can be drawn on a plane without any edges crossing. This property, known as planarity, has many applications in various fields such as computer science, network design, and circuit layout. It allows for easier visualization and analysis of complex relationships between nodes in a graph.
What is the difference between a node and an edge in a graph theory context?
In graph theory, a node (or vertex) represents a point or entity in a graph, while an edge represents a connection or relationship between two nodes.
What are the differences between an edge list and an adjacency list in graph theory?
In graph theory, an edge list is a simple list that shows the connections between nodes in a graph by listing the pairs of nodes that are connected by an edge. An adjacency list, on the other hand, is a more structured representation that lists each node and its neighboring nodes. The main difference is that an edge list focuses on the edges themselves, while an adjacency list focuses on the nodes and their connections.
What are the different types of edges found in graph theory and how do they impact the connectivity of a graph?
In graph theory, the different types of edges are directed edges and undirected edges. Directed edges have a specific direction, while undirected edges do not. The type of edges in a graph impacts the connectivity by determining how nodes are connected and how information flows between them. Directed edges create a one-way connection between nodes, while undirected edges allow for two-way connections. This affects the paths that can be taken between nodes and the overall structure of the graph.
What is the algorithm to find all shortest paths between two nodes in a graph?
One common algorithm to find all shortest paths between two nodes in a graph is the Floyd-Warshall algorithm. This algorithm calculates the shortest paths between all pairs of nodes in a graph by considering all possible intermediate nodes.
What are edges and lines nodes?
In graph theory, nodes (or vertices) are the fundamental units that represent entities in a network, while edges (or lines) are the connections between these nodes. Each edge connects two nodes, illustrating the relationship or interaction between them. For example, in a social network, nodes could represent individuals and edges could represent friendships. Together, they form a structure that can be analyzed to understand various properties and dynamics of the network.
What are nodes for?
it is a part of the stem from which a branch grows
What are three things that a graph needs?
A graph needs nodes (vertices) to represent entities, edges (links) to represent relationships between entities, and a structure (topology) that defines how nodes and edges are connected.
What does a mathematical tree look like?
In the area known as graph theory, a tree has nodes and edges joining the nodes. A tree is a type of graph which is connected (you can get from each node to every other node by following the edges), but has no cycles (you can't follow edges around in a circle). There is more, including a picture, here: http://en.wikipedia.org/wiki/Tree_(graph_theory) Trees have uses in computer science.
What is the shortest path in a directed graph between two nodes?
The shortest path in a directed graph between two nodes is the path with the fewest number of edges or connections between the two nodes. This path is determined by algorithms like Dijkstra's or Bellman-Ford, which calculate the shortest distance between nodes based on the weights assigned to the edges.
What is directed graph?
It's a set of nodes, together with edges that have directions associated with them.
What typ of graph data can be moved in the graph without changing the meaning?
In graph data, nodes and edges can often be moved without altering the overall meaning or structure, as long as the relationships between them remain intact. For instance, in an undirected graph, the position of nodes can be adjusted since connections (edges) are bidirectional. Similarly, in directed graphs, as long as the direction of the edges is preserved, nodes can be repositioned. However, any changes that alter the connections or the direction of edges would change the graph's meaning.
